Manager, Research Analysis, RBS Tech

RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey including selection discoverability & fulfilment buying experience and post-buying experience (product quality and customer returns).

As a Sciences team in RBS Tech we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal entity extraction and slot tagging for Catalog completeness and consistency supervised and unsupervised techniques multi-task learning multi-label classification aspect and topic extraction for Customer Anecdote Mining image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results.

Key job responsibilities
As a Manager Research Analysis you will lead a team of Research Analysts (RA) and define the AI strategy for AI/ML and GenAI systems across the organization. You will lead complex initiatives establish technical standards and influence executive-level decisions through innovation and deep research.

* Architect and own large-scale AI/ML systems including distributed LLM deployments fine-tuning infrastructure and causal modeling
* You will partner with business science and engineering teams to identify and solve large and significantly complex problems that require scientific innovation.
* Conduct thorough ML experimentation and make ML model and architecture design choices in the areas of developing prompt abstraction layers auto-evaluation and auto-prompt generation techniques.
* Lead initiatives on LLM Agents RAG inference optimization (quantization pruning) and low latency serving
* Evaluate model safety fairness and biasdrive AI guardrails and responsible AI development
* Influence roadmap by aligning AI capabilities with product vision and customer needs
* You will help the team leverage your expertise by coaching and mentoring.

Expectations

* Recognized expert in ML and generative AIstrong research and hands-on experience
* Demonstrates thought leadership in AI strategy and architectural decision-making
* Builds and mentors cross-functional teams
* Drives long-term innovation reusability and platform thinking across org

- Experience with SQL
- Experience with R Python Weka SAS Matlab or other statistical/machine learning software
- Bachelors degree in a quantitative field or experience working in Science Technology Engineering or Mathematics (STEM)
- Experience demonstrating strong analytical abilities and confidence in the use of data
- Experience communicating results to senior leadership or experience in solving complex business challenges by delivering accurate and timely financial models analysis and recommendations that have a proven impact on business (e.g. financial savings operational improvements or customer benefits)
- 5 years of working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage experience
- Experience working cross functionally with tech and non-tech teams

- Masters degree or Masters degree and 3 years of practical machine learning experience
- Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters as well as deploying models and building ML service - Technical expertise experience in AI/ML and GenAI

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